Sr Data Analyst

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

FinTech at Uber builds and implements all finance systems, with teams specializing in financial processes, products, project management and analytics. The Data Analytics team is a part of FinTech, under Platform CAS, focused on providing analytical support for developing world class financial systems to improve efficiency of financial processes through speed, accuracy and flexibility. We work closely with multiple stakeholders and product managers from the Uber Revenue platform ecosystem, Accounting, Finance, Tax, Compliance and other FinTech teams.

About the Role

We are looking for an experienced Senior Data Analyst to join our FinTech - Data Analytics team and make significant contributions to our mission to streamline and optimize Uber's financial infrastructure and processes. In this position, you will get an amazing opportunity to leverage advanced analytics to play a critical role in implementing/building a wide array of financial systems, generating actionable insights from data and improving financial reporting processes. You will work closely with senior leaders in Product, Data Science, Engineering, Compliance and Operations on fast moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities is a must for this role. Your performance is measured by the insights you give, effectiveness of communication, and the initiative to drive ideas and implement them into action.

What You'll Do

You will shape the direction of Uber's financial platforms by doing the following:

• Work with accounting, engineering, product, data science, compliance and other business stakeholders in mining and analyzing financial and entity-level data to extract key trends and insights.
• Build effective visualizations to communicate data to key decision-makers.
• Build models to detect anomalies and resolve financial imbalances; investigate and resolve data discrepancies between systems.
• Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.
• Explore Fintech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies.
• Build end to end data pipelines and self serving dashboards. Automate whatever you can!
• Plan and lead complex projects, prioritize tasks and map stakeholders appropriately
• Be a trusted advisor to Product Management and business leadership.
• Conduct feasibility studies to analyze the impact of proposed product changes.
• Communicate your findings to cross-functional peers and management.
• Get a deep understanding about the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data analytics practice.

What You'll Need :

• Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
• 5+ years experience as a Product Analyst, Sr. Data Analyst, or other type of data analysis-focused functions
• Advanced SQL expertise
• Experience with either Python or R for data analysis
• Proven ability to wrangle large datasets, extracting insights from data, and summarizing learnings / takeaways
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

Preferred Qualifications

• Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data
• Excellent understanding of statistical principles backed by an academic foundation
• Ability to learn and adapt to new methodologies for data collection and analysis
• Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail
• Ability to work in a self-guided manner
• Ability to mentor, coach and develop junior team members
• Superb communication and organization skills
• Prior experience within the finance industry is a plus

FinTech at Uber builds and implements all finance systems, with teams specializing in financial processes, products, project management and analytics. The Data Analytics team is a part of FinTech, under Platform CAS, focused on providing analytical support for developing world class financial systems to improve efficiency of financial processes through speed, accuracy and flexibility. We work closely with multiple stakeholders and product managers from the Uber Revenue platform ecosystem, Accounting, Finance, Tax, Compliance and other FinTech teams.

About the Role

We are looking for an experienced Senior Data Analyst to join our FinTech - Data Analytics team and make significant contributions to our mission to streamline and optimize Uber's financial infrastructure and processes. In this position, you will get an amazing opportunity to leverage advanced analytics to play a critical role in implementing/building a wide array of financial systems, generating actionable insights from data and improving financial reporting processes. You will work closely with senior leaders in Product, Data Science, Engineering, Compliance and Operations on fast moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities is a must for this role. Your performance is measured by the insights you give, effectiveness of communication, and the initiative to drive ideas and implement them into action.

What You'll Do

You will shape the direction of Uber's financial platforms by doing the following:

• Work with accounting, engineering, product, data science, compliance and other business stakeholders in mining and analyzing financial and entity-level data to extract key trends and insights.
• Build effective visualizations to communicate data to key decision-makers.
• Build models to detect anomalies and resolve financial imbalances; investigate and resolve data discrepancies between systems.
• Understand critical interdependencies across functions and divisions, and grasp the short and long-term trade-offs of business decisions.
• Explore Fintech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies.
• Build end to end data pipelines and self serving dashboards. Automate whatever you can!
• Plan and lead complex projects, prioritize tasks and map stakeholders appropriately
• Be a trusted advisor to Product Management and business leadership.
• Conduct feasibility studies to analyze the impact of proposed product changes.
• Communicate your findings to cross-functional peers and management.
• Get a deep understanding about the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data analytics practice.

What You'll Need :

• Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
• 5+ years experience as a Product Analyst, Sr. Data Analyst, or other type of data analysis-focused functions
• Advanced SQL expertise
• Experience with either Python or R for data analysis
• Proven ability to wrangle large datasets, extracting insights from data, and summarizing learnings / takeaways
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

Preferred Qualifications

• Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data
• Excellent understanding of statistical principles backed by an academic foundation
• Ability to learn and adapt to new methodologies for data collection and analysis
• Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail
• Ability to work in a self-guided manner
• Ability to mentor, coach and develop junior team members
• Superb communication and organization skills
• Prior experience within the finance industry is a plus